Data Architect

Who We Are:

At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.

• Collaborate with business stakeholders to understand their data needs and translate them into technical requirements (Data Discovery).
• Design a robust and scalable data architecture for the client's consumer banking platform, leveraging Google BigQuery as an interim layer, with Azure as the final data warehouse.
• Design the data models, pipelines, and integrations to support various business functions, including customer relationship management (CRM), marketing automation, reporting and customer insight.
• With stakeholders, design data governance policies and procedures to ensure data quality, consistency, and security around the 4Vs.
• Stay abreast of industry best practices and emerging technologies in data architecture, particularly in the areas of cloud computing, big data, and data warehousing.
• Work closely with the Data Engineering team to recommend and implement data pipelines using the most appropriate and relevant technologies based on client systems.
• Work with stakeholders and data science/analysis team to design and develop data visualizations and dashboards using Power BI to provide insights to business users.
• Build and maintain integrations with AdTech and MarTech platforms to enable targeted marketing campaigns and personalized customer experiences.
• Contribute to the development of a data-driven culture within the organization by promoting data literacy and advocating for data-informed decision-making.

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience as a Data Architect or in a similar role.
• Ideally, experience in the financial services industry, particularly consumer retail banking.
• Strong understanding of data warehousing concepts, dimensional modeling, and ETL processes.
• Extensive experience (ideally with certifications) with Google Cloud Platform, Azure cloud technologies, including Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
• Proficiency in SQL and other data manipulation languages.
• Experience with data visualization tools, particularly Power BI.
• Familiarity with AdTech and MarTech platforms and their data integration requirements.
• Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Strong analytical and problem-solving skills.
• Passion for data and its potential to drive business value.